Skip to main content

Neural Network Modeling Framework

Project description

[![](https://img.shields.io/github/license/pyrates-neuroscience/PyRates.svg)](https://github.com/pyrates-neuroscience/PyRates) [![Build Status](https://travis-ci.com/pyrates-neuroscience/PyRates.svg?branch=master)](https://travis-ci.com/pyrates-neuroscience/PyRates) <img src=”https://github.com/pyrates-neuroscience/PyRates/blob/master/PyRates_logo_color.svg” width=”20%” heigth=”20%” align=”right”>

# PyRates PyRates is a framework for neural modeling and simulations, developed by Richard Gast and Daniel Rose at the Max Planck Institute of Human Cognitive and Brain Sciences, Leipzig, Germany.

Basic features:

  • Every model implemented in PyRates is translated into a tensorflow graph, a powerful compute engine that provides efficient CPU and GPU parallelization.

  • Each model is internally represented by a networkx graph of nodes and edges, with the former representing the model units (i.e. single cells, cell populations, …) and the latter the information transfer between them. In principle, this allows to implement any kind of dynamic neural system that can be expressed as a graph via PyRates.

  • The user has full control over the mathematical equations that nodes and edges are defined by.

  • Model configuration and simulation can be done within a few lines of code.

  • Various templates for rate-based population models are provided that can be used for neural network simulations imediatly.

  • Visualization and data analysis tools are provided.

  • Tools for the exploration of model parameter spaces are provided.

Documentation

For a full API of PyRates, see READTHEDOCSLINK. For examplary simulations and model configurations, please have a look at the jupyter notebooks in the documenation folder.

Reference

If you use this framework, please cite: Gast, R., Knoesche, T. R., Daniel, R., Moeller, H. E., and Weiskopf, N. (2018). “P168 pyrates: A python framework for rate-based neural simulations.” BMC Neuroscience. 27th Annual Computational Neuroscience Meeting (CNS*2018): Part One.

Contact

If you have questions, problems or suggestions regarding PyRates, please contact [Richard Gast](https://www.cbs.mpg.de/person/59190/376039) or [Daniel Rose](https://www.cbs.mpg.de/person/51141/374227).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyrates-0.6.0.tar.gz (163.5 kB view details)

Uploaded Source

Built Distribution

pyrates-0.6.0-py3-none-any.whl (243.9 kB view details)

Uploaded Python 3

File details

Details for the file pyrates-0.6.0.tar.gz.

File metadata

  • Download URL: pyrates-0.6.0.tar.gz
  • Upload date:
  • Size: 163.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.20.1 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.6.6

File hashes

Hashes for pyrates-0.6.0.tar.gz
Algorithm Hash digest
SHA256 77b7e0ef545bf694934cf3f6087848361220f7a9c22b4e8fe3c1e2f6122da4fb
MD5 3e11bb2d441b05ca58d220df9d5a3f42
BLAKE2b-256 d707b9d1cc13488951ca200baec71e20fc20e073b5e293870bf805c319b91b93

See more details on using hashes here.

Provenance

File details

Details for the file pyrates-0.6.0-py3-none-any.whl.

File metadata

  • Download URL: pyrates-0.6.0-py3-none-any.whl
  • Upload date:
  • Size: 243.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.20.1 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.6.6

File hashes

Hashes for pyrates-0.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ecfff27ef8d38494fbef60a2f3125094bcf5d526a3ba52d9fd9eb239acd3f5b4
MD5 d7bfbd386dbffacaffeec4975d856a1f
BLAKE2b-256 ad8ffdf92fc460241eb8a6e2a5341a717f61992eaba54bc71c2e2df946421356

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page